20 citations · 25 across the 6 of their papers we have counts for
6 papers
Stable Multi-Step Rollouts via Uncertainty-Guided Hybrid Dynamics
Andrei Maalberg, Axel Neumann, Jens Knobloch
Multi-step rollouts are essential for model-based reinforcement learning (RL) and predictive control, yet learned dynamics models often become unstable when recursively applied, le…
KIND: A Kalman-Inspired Adaptive Estimator for SRF Cavity Detuning
Andrei Maalberg, Axel Neumann, Pablo Echevarria +2
Superconducting radio frequency cavities with a high quality factor enable energy-efficient accelerator operation but are very sensitive to mechanical disturbances that detune thei…
Improved RF Performance of Niobium Cavities via In-situ Vacuum Heat Treatment Technique
Yegor Tamashevich, Alena Prudnikava, Alexander Matveenko +3
Vacuum thermal treatments (baking) are known to improve the superconducting properties of the RF surface layer of niobium cavities, and are employed as a last processing step to in…
The Development of Energy-Recovery Linacs
Chris Adolphsen, Kevin Andre, Deepa Angal-Kalinin +46
Energy-recovery linacs (ERLs) have been emphasised by the recent (2020) update of the European Strategy for Particle Physics as one of the most promising technologies for the accel…
European Strategy for Particle Physics -- Accelerator R&D Roadmap
C. Adolphsen, D. Angal-Kalinin, T. Arndt +133
The 2020 update of the European Strategy for Particle Physics emphasised the importance of an intensified and well-coordinated programme of accelerator R&D, supporting the design a…
Scientific opportunies for bERLinPro 2020+, report with ideas and conclusions from bERLinProCamp 2019
Thorsten Kamps, Michael Abo-Bakr, Andreas Adelmann +38
The Energy Recovery Linac (ERL) paradigm offers the promise to generate intense electron beams of superior quality with extremely small six-dimensional phase space for many applica…